data
NewData science and data engineering agents for visualization (D3, Highcharts), notebooks (Jupyter, Google Colab), R, and Python data engineering.
Overview
A curated Claude Code plugin marketplace for practical, everyday usage in software engineering — 12 plugins, 53 specialist agents, 10 skills, 3 commands. A few opinionated choices that set it apart from larger awesome-style lists:
- •Curated, not exhaustive. Every plugin and agent is one I actually use. No vendored grab-bags, no auto-generated stubs of skills the model already has.
- •SDK-loadable. Every plugin ships both the catalog entry and a per-plugin
plugin.json, so consumers using the Claude Agent SDK (ClaudeAgentOptions.plugins=[{"type":"local","path":...}]or--plugin-dir) can load them directly. Many marketplaces only ship the catalog and silently fail to register skills/commands/hooks when loaded that way. - •CI-guarded drift. A GitHub Action validates manifest sync on every PR.
- •Zero-warning validation. Every plugin passes
claude plugin validatewith no errors or warnings.
= Most skills & plugins have been run through exhaustive evals. I am an avid fan of skill-creator and have a custom-build eval harness for building and evaluating plugins. Many of the resources here are fruit borne from that work.
   
Quick start
# In Claude Code
/plugin marketplace add https://github.com/andisab/swe-marketplace.git
/plugin install context-engineering@swe-marketplace
# Restart Claude Code, then verify with /help or /agentsBrowse the full catalog with /plugin marketplace list. Every plugin is claude plugin validate-clean and version-pinned in `marketplace.json`.
What's inside
adv — Adversarial multi-model code review (v0.2.0)
Cross-examines code changes using Claude, Codex CLI, and Gemini CLI together. One agent orchestrates 5 specialized reviewers; three commands let you talk to each model directly.
- •Agent:
adv-review - •Skill:
dispatch(shared multi-model CLI infrastructure) - •Commands:
/adv-codex,/adv-gemini,/adv-gemini-research
context-engineering — The plugin you use to build other plugins (v1.1.0)
End-to-end toolkit for authoring Claude Code resources following Anthropic specs. Templates, examples, and discovery-optimized patterns for every component type.
- •Agent:
context-engineer - •Skills:
agent-dev,skill-dev,command-dev,hook-dev,plugin-dev,mcp-tool-dev,mcp-server-dev
research-team — Multi-agent research orchestration (v1.2.3)
A coordinator skill decomposes a topic into subtopics, spawns parallel research-specialist subagents, then hands off to a research-report-writer for synthesis. Joplin output supported.
- •Agents:
research-specialist,research-report-writer - •Skills:
coordinator,joplin-research
dev — 13 language experts (v1.0.0)
| Agent | Focus |
|---|---|
dev-python-expert | Python (general) |
dev-fastapi-architect | FastAPI / async API design |
dev-typescript-expert | TypeScript |
dev-javascript-expert | JavaScript |
dev-nodejs-expert | Node.js |
dev-go-expert | Go |
dev-rust-expert | Rust |
dev-cpp-expert | C++ |
dev-kotlin-expert | Kotlin |
dev-php-expert | PHP |
dev-lua-expert | Lua |
dev-perl-expert | Perl |
dev-refactor-agent | Cross-language refactoring |
frontend — UI and design specialists (v1.0.0)
- •
fe-react-expert,fe-vue-expert,fe-nextjs-expert - •
fe-html-expert,fe-css-expert - •
fe-frontend-designer(design systems, UX)
infrastructure — DevOps, cloud, and platform (v1.0.0)
- •Cloud:
infra-aws-architect,infra-gcp-architect - •Containers:
infra-docker-engineer,infra-k8s-engineer - •IaC:
infra-terraform-engineer - •CI/CD:
infra-github-actions-expert,infra-gitlab-ci-expert - •Security:
infra-security-auditor
databases — SQL, NoSQL, graph, and vector (v1.0.0)
db-postgres-expert, db-mongodb-expert, db-neo4j-expert, db-cassandra-expert, db-mariadb-expert, db-sql-expert, db-vector-expert
data — Data science and data engineering (v1.0.0)
- •Visualization:
data-d3-expert,data-highcharts-expert - •Notebooks:
data-jupyter-expert,data-google-colab-expert - •Languages:
data-r-expert,data-python-data-engineer
machine-learning — ML framework specialists (v1.0.0)
ml-pytorch-expert, ml-tensorflow-expert, ml-scikit-learn-expert
genai — Generative AI development (v1.0.0)
genai-langchain-expert — chains, agents, retrieval workflows. More frameworks on the way.
product-management — PRDs, content, planning (v1.0.0)
pm-prd-writer, pm-content-writer, pm-project-planner
arch — System and build orchestration (v1.0.0)
arch-context-agent (context management for large codebases), build-orchestrator (multi-agent build coordination)
Plugin manifests
Two manifests ship together:
- •`.claude-plugin/marketplace.json` (repo root) — catalog used by
/plugin marketplace addand/plugin install. Source of truth. - •`plugins/<name>/.claude-plugin/plugin.json` — per-plugin manifest used by SDK consumers loading plugins directly. Generated from the matching
marketplace.jsonentry.
python scripts/synthesize-plugin-manifests.py # regenerate
python scripts/synthesize-plugin-manifests.py --check # drift check (CI runs this)
./scripts/validate-all.sh # full validationSee CONTRIBUTING.md for the full contribution workflow.
Other marketplaces worth checking out
| Repository | Stars | Description |
|---|---|---|
| claudemarketplaces.com | ⭐ 20 | Indexes marketplaces. Thank you, Mert! (Substack, Github) |
| wshobson/agents | ⭐ 21,030 | Arguably the OG. 185 agents, 16 orchestrators, 153 skills, 100 commands in 80 plugins. Thank you, Seth! |
| EveryInc/every-marketplace | ⭐ 725 | Official Every-Env plugin marketplace. |
| jeremylongshore/claude-code-plugins-plus | ⭐ 468 | 243 plugins, first 100% compliant with the Anthropic 2025 Skills schema. |
| ananddtyagi/claude-code-marketplace | ⭐ 174 | Community-driven marketplace. |
| Dev-GOM/claude-code-marketplace | ⭐ 23 | Productivity plugins with hooks, commands, and agents. |
| jmanhype/claude-code-plugin-marketplace | ⭐ 5 | 19 multi-agent trading and GitHub automation plugins. |
| kivilaid/plugin-marketplace | ⭐ 2 | Showcase of every component type. |
| netresearch/claude-code-marketplace | ⭐ 3 | Curated skills by Netresearch DTT GmbH. |
Safety note: verify the source of any marketplace before adding it. Plugins can register hooks and MCP servers that run on your machine — read what you're running and review permissions carefully.
Documentation
Plugins guide · Plugin reference · Marketplaces · Sub-agents · Skills · Slash commands · Hooks
Contributing
Contributions welcome — agent tweaks, new plugins, doc fixes, bug reports. See CONTRIBUTING.md.
License
MIT — © Andis A. Blukis.
Contact
- •GitHub: @andisab
- •LinkedIn: andisab
- •Email: [email protected]
Install & Usage
mkdir -p .claude/skillsmkdir -p .claude/skills && curl -o .claude/skills/data.md https://raw.githubusercontent.com/andisab/swe-marketplace/main/SKILL.md/dataFrequently Asked Questions
What is data?
Data science and data engineering agents for visualization (D3, Highcharts), notebooks (Jupyter, Google Colab), R, and Python data engineering.
How to install data?
To install data, create the .claude/skills directory in your project, then run the curl command to download the skill file. Once installed, invoke it in Claude Code with /data.
What is data best for?
data is a community categorized under Data & Analytics. It is designed for: agent, python, data-science, visualization, jupyter, notebooks, d3, r. Created by Andis A. Blukis.